Multivariable system identification with noisy data

The identification procedure presented uses input/output data to establish, not only the system order, but also the minimal number of parameters required for representation. After a development of the method, an example is presented to illustrate the relative numerical accuracy with respect to additive data noise. In the process the related problem of relative observability of system modes is discussed